{"id":"https://openalex.org/W18276215","doi":"https://doi.org/10.1007/978-0-8176-8421-1_10","title":"Statistical Inference for Queueing Models","display_name":"Statistical Inference for Queueing Models","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W18276215","doi":"https://doi.org/10.1007/978-0-8176-8421-1_10","mag":"18276215"},"language":"en","primary_location":{"id":"doi:10.1007/978-0-8176-8421-1_10","doi":"https://doi.org/10.1007/978-0-8176-8421-1_10","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-0-8176-8421-1_10","pdf_url":null,"source":{"id":"https://openalex.org/S4210227885","display_name":"Statistics for industry and technology","issn_l":"2364-6241","issn":["2364-6241","2364-625X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics for Industry and Technology","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W4249298560","display_name":"An Introduction to Queueing Theory"},"type":"book-chapter","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049544264","display_name":"U. Narayan Bhat","orcid":"https://orcid.org/0000-0001-9020-5701","observed_orcids":["https://orcid.org/0000-0001-9020-5701"]},"institutions":[{"id":"https://openalex.org/I178169726","display_name":"Southern Methodist University","ror":"https://ror.org/042tdr378","country_code":"US","type":"education","lineage":["https://openalex.org/I178169726"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"U. Narayan Bhat","raw_affiliation_strings":["Department of Statistical Science, Southern Methodist University, Dallas, Texas, USA","Southern Methodist University **"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistical Science, Southern Methodist University, Dallas, Texas, USA","institution_ids":["https://openalex.org/I178169726"]},{"raw_affiliation_string":"Southern Methodist University **","institution_ids":["https://openalex.org/I178169726"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5049544264"],"corresponding_institution_ids":["https://openalex.org/I178169726"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.00067858,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"215","last_page":"231"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13500","display_name":"Probability and Statistical Research","score":0.005400000140070915,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.0017000000225380063,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/queueing-models","display_name":"queueing models","score":0.9079999923706055},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"statistical inference","score":0.8190000057220459},{"id":"https://openalex.org/keywords/parameter-estimation","display_name":"parameter estimation","score":0.9810000061988831},{"id":"https://openalex.org/keywords/queueing-systems","display_name":"queueing systems","score":0.7350000143051147},{"id":"https://openalex.org/keywords/model-selection","display_name":"model selection","score":0.7250000238418579},{"id":"https://openalex.org/keywords/data-collection-methods","display_name":"data collection methods","score":0.6589999794960022}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7217872142791748},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.700469970703125},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.6984778642654419},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.6750685572624207},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44743624329566956},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35712510347366333},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2683006525039673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24110212922096252},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15118438005447388},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06479203701019287},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-0-8176-8421-1_10","doi":"https://doi.org/10.1007/978-0-8176-8421-1_10","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-0-8176-8421-1_10","pdf_url":null,"source":{"id":"https://openalex.org/S4210227885","display_name":"Statistics for industry and technology","issn_l":"2364-6241","issn":["2364-6241","2364-625X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics for Industry and Technology","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3117613121","https://openalex.org/W2182150400","https://openalex.org/W7096510517","https://openalex.org/W4242567409","https://openalex.org/W2155464525","https://openalex.org/W2331901785","https://openalex.org/W2668173902","https://openalex.org/W4411439896","https://openalex.org/W4280568304","https://openalex.org/W2585405503"],"abstract_inverted_index":{"Statistical":[0,10,91],"analysis":[1,73],"of":[2,56,102,109],"data":[3,62,70,120],"is":[4,152],"essential":[5],"to":[6,35,60,134],"initiate":[7],"probability":[8],"modeling.":[9],"inference":[11,92,108],"completes":[12],"the":[13,17,20,26,45,49,87,100,130,148,155,161],"process":[14,151],"by":[15,143,147],"linking":[16],"model":[18,37],"with":[19],"random":[21],"phenomenon.":[22],"Thus,":[23],"for":[24],"using":[25],"queueing":[27,110,117],"models":[28],"developed":[29],"in":[30,75,86,116,136],"earlier":[31],"chapters,":[32],"we":[33,43,53,132],"need":[34],"estimate":[36],"parameters":[38],"and":[39,72,98,127,145,154],"make":[40],"sure":[41],"that":[42],"have":[44,66],"right":[46],"model.":[47],"In":[48],"next":[50],"few":[51],"sections,":[52],"discuss":[54],"methods":[55],"parameter":[57],"estimation":[58],"appropriate":[59],"various":[61],"collection":[63,71,121],"procedures.":[64],"We":[65],"not":[67,124,146],"discussed":[68],"any":[69],"procedures":[74,93,122],"this":[76,137],"text":[77],"simply":[78],"because":[79],"there":[80],"are":[81,94,129],"several":[82],"books":[83],"on":[84,89,99,106],"them":[85],"literature":[88],"statistics.":[90],"also":[95],"well":[96],"established":[97],"face":[101],"it,":[103],"a":[104],"chapter":[105],"statistical":[107],"systems":[111,118],"may":[112,123,157],"seem":[113],"superfluous.":[114],"However,":[115],"standard":[119],"be":[125,158],"possible":[126],"those":[128],"cases":[131],"plan":[133],"consider":[135],"chapter.":[138],"These":[139],"keywords":[140,156],"were":[141],"added":[142],"machine":[144],"authors.":[149],"This":[150],"experimental":[153],"updated":[159],"as":[160],"learning":[162],"algorithm":[163],"improves.":[164]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2016-06-24T00:00:00"}
